159 research outputs found

    The Impact of Monetary Policy on Stock Returns in Vietnamese Stock Market

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    Understanding the impact of monetary policy on stock returns is crucial to making investment decisions in the stock market. In this paper, I analyzed the impact of monetary policy and the movement of stock returns, using the Vector Auto-Regression approach (VAR) and focusing on the relationships between stock returns, inflation rate, exchange rate and interest rate in Vietnam. The result shows that the stock returns could be well forecasted by using the past information of monetary policy. The analysis of impulse and response of stock returns illustrate that the monetary policy has a small contribution into the innovations of the stock returns and the shocks from monetary policy to stock returns mostly affect stronger in the second month when the own shock of stock returns reduces

    Approximation of mild solutions of the linear and nonlinear elliptic equations

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    In this paper, we investigate the Cauchy problem for both linear and semi-linear elliptic equations. In general, the equations have the form 2t2u(t)=Au(t)+f(t,u(t)),t[0,T], \frac{\partial^{2}}{\partial t^{2}}u\left(t\right)=\mathcal{A}u\left(t\right)+f\left(t,u\left(t\right)\right),\quad t\in\left[0,T\right], where A\mathcal{A} is a positive-definite, self-adjoint operator with compact inverse. As we know, these problems are well-known to be ill-posed. On account of the orthonormal eigenbasis and the corresponding eigenvalues related to the operator, the method of separation of variables is used to show the solution in series representation. Thereby, we propose a modified method and show error estimations in many accepted cases. For illustration, two numerical examples, a modified Helmholtz equation and an elliptic sine-Gordon equation, are constructed to demonstrate the feasibility and efficiency of the proposed method.Comment: 29 pages, 16 figures, July 201

    Critical-Path Aware Scheduling for Latency Efficient Broadcast in Duty-Cycled Wireless Sensor Networks

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    Minimum latency scheduling has arisen as one of the most crucial problems for broadcasting in duty-cycled Wireless Sensor Networks (WSNs). Typical solutions for the broadcast scheduling iteratively search for nodes able to transmit a message simultaneously. Other nodes are prevented from transmissions to ensure that there is no collision in a network. Such collision-preventions result in extra delays for a broadcast and may increase overall latency if the delays occur along critical paths of the network. To facilitate the broadcast latency minimization, we propose a novel approach, critical-path aware scheduling (CAS), which schedules transmissions with a preference of nodes in critical paths of a duty-cycled WSN. This paper presents two schemes employing CAS which produce collision-free and collision-tolerant broadcast schedules, respectively. The collision-free CAS scheme guarantees an approximation ratio of in terms of latency, where denotes the maximum node degree in a network. By allowing collision at noncritical nodes, the collision-tolerant CAS scheme reduces up to 10.2 percent broadcast latency compared with the collision-free ones while requiring additional transmissions for the noncritical nodes experiencing collisions. Simulation results show that broadcast latencies of the two proposed schemes are significantly shorter than those of the existing methods

    On the high resolution regional weather forecast model (HRM) and forecasting tropical cyclone motion over the south china sea

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    Chan (1995) [2] has found that, only 70% in 60 cases of the tropical cyclone (TC) movement test (TMT-90) developed from steering flows. The 30% remain of cases have to be explained by nonbarotropic processes. We are of the opinion that all weak, slow-moving and unexpected changing TCs over the South China Sea are in this 30% set. The nonlinear interaction between barotropic and nonbarotropic processes has affected on motion and structure of such TCs. In this paper, we use the high resolution weather forecast model (HRM), which is able to simulate meso-scale phenomena in limited regions, to predict motion of TCs in the South China Sea in 2002-2004, including two typical weak, slow-moving and unexpected changing TCs Mekhala and Nepartak. We have chosen two forecast domains with different areas and resolutions. The results show that with the smaller domain, appropriate buffer and higher resolution HRM can predict better motion of TCs operating in the South China Sea

    Firm History and Managerial Entrenchment: Empirical Evidence for Vietnam Listed Firms

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    Managerial entrenchment occurs when managers are able to manipulate financing decisions to support their own interests rather than those of shareholders. Such possible actions can involve deception and fraud. Furthermore, the market timing activity is explained by managers' financing decisions through which companies choose to raise debt or equity to finance their investment opportunities. Nevertheless, the relationship between managerial entrenchment and leverage ratio, together with the link between market timing and leverage ratio, have not been considered carefully and investigated in the Vietnamese context. The paper provides empirical evidence of the effect of managerial entrenchment and market timing through firms' histories on leverage ratio in Vietnam using a sample of 289 non-financial firms listed on the Ho Chi Minh Stock Exchange (HOSE) during the period 2006-2017. OLS, GMM and the endogenous switching methods are used for estimating the models. Findings from the paper indicate that there is a negative relationship between managerial entrenchment and leverage ratio, and that there is a negative effect of firm history, including financial deficit, various timing measures, and stock price history on the leverage ratios of Vietnam's listed firms

    AMMONIA REMOVAL FROM SWINE WASTEWATER USING AN AEROBIC, ANOXIC FILTER AT A PILOT-SCALE IN THANH LOC BIOSTATION

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    Joint Research on Environmental Science and Technology for the Eart

    ベトナム北部山岳地域におけるチャ遺伝資源の共同探索収集

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    The place of origin of tea (Camellia sinensis (L.) O. Kuntze) is thought to be the border area of Vietnam, Laos, Thailand, Myanmar and China. Therefore, the diversity of tea genetic resources of Vietnam is important for tea science. A collaborated mission to explore and collect tea genetic resources in Vietnam was conducted from 23rd November to 14th December, 2003. This mission surveyed Son La province, Lai Chau province, Lao Cai province, Yen Bai province and Pho Tho province. The tea plants in Vietnam are classified into two types, Shan and Trungdu. Most of Shan tea has been cultivated in mountain areas by ethnic peoples such as Moung and Dao for making of green tea. Trungdu tea has been cultivated for mountain areas and flat areas for making black tea and green tea. Since it is the rule in Vietnam that seeds of Shan tea is not objected to bring out the country, we only collected seeds of Trungdu tea from three points of northern part mountain areas of Vietnam. We also collected tea shoots sample of Shan tea and Trungde tea from eight points in Vietnam. Collected tea shoots samples were dried by microwave for the analysis of chemical components. The morphological variation of flower and leaf characters were different among sampling points, and therefore collected tea genetic resources will be useful for the studies on evolution of tea and tea improvement
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